A New Approach for Modeling the Nonlinearity of Analog to Digital Converters Based on Spectral Components

This paper presents a novel modeling approach for analog to digital converters (ADCs). The non linearity of the converter is modeled using a linear combination of Chebyshev polynomials. The model relies on a fast Fourier transform (FFT) test applied to the output of the ADC. The harmonics extracted...

Full description

Saved in:
Bibliographic Details
Main Authors: Saada, N.H., Guindi, R.S., Salama, A.E.
Format: Conference Proceeding
Language:English
Subjects:
Analog-digital conversion
Chebyshev approximation
Circuit simulation
Circuit testing
Fast Fourier transforms
Graphics
Linearity
Polynomials
Quantization
Transfer functions
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper presents a novel modeling approach for analog to digital converters (ADCs). The non linearity of the converter is modeled using a linear combination of Chebyshev polynomials. The model relies on a fast Fourier transform (FFT) test applied to the output of the ADC. The harmonics extracted from the FFT test are the coefficients of the Chebyshev polynomials. The model appears to be much faster, compared to real circuits and models developed with other techniques, without losing much accuracy. The proposed model is convenient for all architectures of ADCs with high resolution bits
ISSN:2160-3804
2160-3812
DOI:10.1109/BMAS.2006.283481